Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
Recent developments in recommender systems: A survey
In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …
comprehensively summarized. The objective of this study is to provide an overview of the …
Deceptive opinion spam detection using feature reduction techniques
People usually prepare themselves by reading online reviews before purchasing a product.
Sellers sometimes try to imitate user experience as a deceptive review to increase profits …
Sellers sometimes try to imitate user experience as a deceptive review to increase profits …
[PDF][PDF] A novel sentiment analysis method based on multi-scale deep learning
Q Xiang, T Huang, Q Zhang, Y Li, A Tolba… - Mathematical …, 2023 - aimspress.com
As the college students have been a most active user group in various social media, it
remains significant to make effective sentiment analysis for college public opinions …
remains significant to make effective sentiment analysis for college public opinions …
[PDF][PDF] Sentiment analysis as a multidisciplinary research area
THE last two decades have witnessed an enormous amount of researches on sentiment
analysis and significant progress has been made. In terms of depth, finergrained semantic …
analysis and significant progress has been made. In terms of depth, finergrained semantic …
Guest editorial: Sentiment analysis as a multidisciplinary research area
The papers in this special section focus on bringing multidisciplinary knowledge into
sentiment analysis. The last two decades have witnessed an enormous amount of research …
sentiment analysis. The last two decades have witnessed an enormous amount of research …
Soft Computing Techniques for Enhanced E-Commerce Recommender Systems
Soft computing, a multidisciplinary approach inspired by the human mind's ability to make
decisions in uncertain and imprecise situations, is the focus of our discussion. We explore …
decisions in uncertain and imprecise situations, is the focus of our discussion. We explore …
Deep Representation Learning of User Preferences for Opinionclassification
AUG Thennakoon Mudiyanselage, Y Li… - Available at SSRN … - papers.ssrn.com
Text classification assigns predefined categories to text using machine learning models
based onlearned patterns on extracted features. Feature-level sparsity occurs as not all …
based onlearned patterns on extracted features. Feature-level sparsity occurs as not all …
[PDF][PDF] A fuzzy cold-start recommender system for educational trajectory choice
PA Golovinski, AO Shatalova - Problemy Upravleniya, 2023 - pu.mtas.ru
Several approaches to choosing an educational trajectory are considered, and the
advantages of using recommender systems are determined. The cold start problem of …
advantages of using recommender systems are determined. The cold start problem of …